ArticleJournal of medical Internet research2020
An Instagram-Based Study to Understand Betel Nut Use Culture in Micronesia: Exploratory Content Analysis.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05037656 (University of Guam/University of Hawaii Cancer Center Partnership for Cancer Health Equity, Full Project I), which is not on this map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
University of Guam/University of Hawaii Cancer Center Partnership for Cancer Health Equity, Full Project I: Developing and Testing a School-Based Curriculum for E-cigarette, Tobacco, and Betel (Areca) Nut Use Prevention for Guam Youths
Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- The multistep progression of areca nut-induced oral cancer: a mechanistic roadmap from pathogenesis to precision therapy.Life medicine · 2026Review
- Social media use, brand engagement, and tobacco product initiation among youth: Evidence from a prospective cohort study.Addictive behaviors · 2024Article
- Ethnic Disparities in Betel Nut Use: A Focus on Adolescents from Micronesia.International perspectives in psychology : research, practice, consultation · 2024Article
- Exposure to tobacco and betel nut content on social media, risk perceptions, and susceptibility to peer influence among early adolescents in Guam.Addictive behaviors reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundA 2012 World Health Organization report recognizes betel nut use as an urgent public health threat faced by the Western Pacific region. However, compared with other addictive substances, little is known about how betel nuts are depicted on social media platforms. In particular, image-based social media platforms can be powerful tools for health communication. Studying the content of substance use on visual social media may provide valuable insights into public health interventions.
objectiveThis study aimed to explore and document the ways that betel nut is portrayed on the photo-sharing site Instagram. The analysis focuses on the hashtag #pugua, which refers to the local term for betel nut in Guam and other parts of Micronesia.
methodsAn exploratory content analysis of 242 Instagram posts tagged #pugua was conducted based on previous research on substance use and Instagram and betel nut practices in Micronesia. In addition, the study examined the social engagement of betel nut content on the image-based platform.
resultsThe study findings revealed content themes referencing the betel nut or betel nut tree, betel nut preparation practices, and the unique social and cultural context surrounding betel nut activity in Guam and Micronesia. In addition, certain practices and cultural themes encouraged social engagement on Instagram.
conclusionsThe findings from this study emphasize the cultural relevance of betel nut use in Micronesia. These findings provide a basis for empirically testing hypotheses related to the etiological roles of cultural identity and pride in shaping betel nut use behavior among Micronesians, particularly youths and young adults. Such research is likely to inform the development of culturally relevant betel nut prevention and cessation programs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.